ANDS Logo

Project Homepage:

http://code.google.com/p/metadata-export-pipeline

Data collections can be seen on:

https://researchdata.ands.org.au/contributors/international_centre_for_classroom_research

Software is available at:

http://code.google.com/p/metadata-export-pipeline

Programming language(s):

Java, javascript

Categories:

Integration metadata from various systems which are internal to an institution

Metadata Feed/Harvest/Publish

Project Members:

Owen O'Neill (ooneill@unimelb.edu.au)

David Clarke (d.clarke@unimelb.edu.au)

King Chiu (king.chiu@versi.edu.au)

Cameron Mitchell (mitcc@unimelb.edu.au)

ANDS Contact:

Richard Ferrers (richard.ferrers@ands.org.au)

Project Status:

Completed

Video data in the Social Sciences. Optimising Metadata Capture, Data Sharing Procedures and Long-term Reuse

University of Melbourne

Collaborator(s): VeRSI

Project Description

The University of Melbourne has an especially rich humanities and social science research community that utilises video as its primary form of data capture. The increasing use of video as a research tool poses particular challenges for aggregated data storage initiatives. This Data Capture project was undertaken by the University’s International Centre for Classroom Research (ICCR), which houses one of the largest collections of classroom data ever accumulated. Its establishment was a consequence of the need to accommodate data from the Learner's Perspective Study (an international study of well-taught mathematics classrooms, currently being undertaken in 16 countries. The ICCR data set now includes video data from secondary mathematics and science classrooms, primary schools, clinical teaching in hospitals, early childhood settings, and a variety of IT-supported learning environments including tertiary settings. The ICCR offers researchers a state-of-the-art data storage and analysis facility, supported by staff with substantial experience and expertise in the collection, storage and analysis of classroom data (particularly video data).

This project explored metadata issues associated with large-scale audio-visual repositories and workflows to enable efficient generation of metadata, ensuring that metadata about significant ICCR data sets are accessible and searchable through Research Data Australia. The project implemented internal workflows that combined automatically generated metadata with metadata supplemented by expert input for publication to the University Research Data Registry (RDR) and Research Data Australia (RDA). The experiences of this project are of relevance to other areas of the University and the project team will undertake to disseminate project outcomes widely, both within the University (for example to the Faculty of Architecture, Building and Planning and the Faculty of the VCA and Music) and more broadly in the sector where possible.

The team who undertook this project discovered a number of challenges relating to planning and workflow. Thorough planning of descriptors and the content to populate metadata fields is essential in such a large project as this. The DC3C project has been an extremely valuable learning process for research staff at the ICCR. Considerable time was spent planning “useful” and “descriptive” ways of describing the data, not only for the purposes of ANDS, but for local use also. As the project progressed it became evident that careful planning of the fields (including how they are named) and the content that populated them was vitally important. Particularly large databases are time consuming to populate and edit, so getting the planning right in the early stages is critical. Also, working closely with the University Research Data Registry (RDR) team from the beginning enabled the project to meet the ANDS project requirements on time.

The outcomes delivered by this project provide the University of Melbourne with a solid base for other video based projects to build upon. The list of metadata tags, and descriptions will be useful to other research areas of the University. The videoPORTAL (netXposure) DAM has established a strong working model and workflow for other video based studies and researchers to explore.

Initial: "The University of Melbourne has an especially rich humanities and social science research community that utilises video as its primary form of data capture. The increasing use of video as a research tool poses particular challenges for aggregated data storage initiatives. This project will integrate metadata capture facilities at selected sites within the University of Melbourne as part of facilitating sharing and re-use. The project will address current metadata issues associated with large-scale audio-visual repositories and workflows to enable efficient generation of metadata, ensuring that stored video data is accessible and searchable through the ARDC. The project will:
- Develop software to automate the capture of metadata from existing mature video storage systems developed by the ICCR (International Centre for Classroom Research),
- Develop and andndash; where possible - utilise existing infrastructure to identify generic workflow tools that will enable rich knowledge of data sets, access services and parties to the research to be systematically (RIF-CS) captured from the researchers,
- Develop standards compliant video data and metadata deposit services.

These are generic goals which are broadly applicable to activities elsewhere within the university, for example in the Faculty of Architecture, Building and Planning and the Faculty of the VCA and Music.
per Source Code Report: This functionality was developed to facilitate the export of metadata from local research centres at the University of Melbourne to the University's Vivo-based Research Data Registry (RDR). The functionality is designed to be re-usable and can be customised for research centres wishing to export metadata about their research data collections into the RDR. The following resources have been published:

- Functionality to transform and copy metadata to a central location

- Central infrastructure to convert XML content into RDF to ingest it to Vivo

Data Type:

video recording

High Level Software Functionality:

Features:
a. Allows video data to be deposited
b. Automatically extracts metadata from video data
c. Allows extracted metadata to be enriched by user input
d. Generates RIF-CS Collection, Party and Activity descriptions from metadata.
e. Ingests metadata into the University of Melbourne VITRO registry.
f. Automatically assigns persistent identifiers where required.

Download link: http://code.google.com/p/metadata-export-pipeline/downloads/list;

ANZSRC-FOR code:

16 STUDIES IN HUMAN SOCIETY